Titlebook: Social, Cultural, and Behavioral Modeling; 17th International C Robert Thomson,Aravind Hariharan,Aryn Pyke Conference proceedings 2024 The

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A Tool for Distributed Collaborative Causal Discoveryfficiently requires combining available data with expert causal knowledge. Often experts have unique data and model insights, but sharing them is challenging due to privacy or security concerns. Federated machine learning addresses similar issues by allowing multiple sites to collaborate on a common

一再困扰

A Cognitive Slack Approach to Organizational Design the effects of structural interference can both inhibit and undermine the ability of organizations to locate, access, and employ needed information and cognitive specializations. Importantly, structural interference is a system property: its effects cannot be eliminated, only mitigated. Contending

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观察

Deciphering Emotional and Linguistic Patterns in Reddit Suicidal Discourse This study aims to comprehend various traits associated with suicidal posts on Reddit, a prominent social media platform. By analyzing user posts gathered from the Reddit forum ‘r/SuicideWatch’, we aim to scrutinize the various emotional and linguistic signals intertwined with suicidal content. Fur

MODE

Extractive Question Answering for Spanish and Arabic Political Textg (QA). Leveraging on recent LLMs trained to extract events of political violence and conflict, we introduce ConfliBERT-Arabic and ConfliBERT-Spanish, fine-tuned for extractive QA. Contributions include tailored QA fine-tuning techniques for Arabic and Spanish, curation of five datasets, and a compr

Pessary

Accountability in Search Engine Manipulation: A Case Study of the Iranian News Ecosystemwere labeled using GPT-4 and clustering patterns corresponding to political alignments in the webgraph were found. Topic modeling uncovered topics relevant to each alignment’s framing and bias. More importantly, a criterion for distinguishing between paid-for SEO services and information operations

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生命

Drivers of True and False Information Spread: A Causal Study of User Sharing Behaviorsasks primarily emphasize accuracy, they often neglect the underlying motivations that drive user behavior, hindering a fundamental understanding and control of the information spreading environment. To address this, we analyze and quantify potential factors that may drive user sharing behavior based

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labile

0302-9743 rom 54 submissions. ..They are grouped into the following topics: advancements in tools and theory; data-driven approaches..978-3-031-72240-0978-3-031-72241-7Series ISSN 0302-9743 Series E-ISSN 1611-3349